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Data Wrangling and Automated Reports from 'SIVIGILA' source
Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23…
"Science is what we understand well enough to explain to a computer; art is everything else." ― Donald E. Knuth
Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
R package with tools for estimating vaccine effectiveness and vaccine related metrics
Estimates the Force-of-Infection of a given pathogen from population based sero-prevalence studies
We write your reusable computer vision tools. 💜
📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
An interactive exploration of Transformer programming.
Compilation of high-profile real-world examples of failed machine learning projects
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
The "Python Machine Learning (2nd edition)" book code repository and info resource
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientif…
Complexly represent contents, build recommender systems, evaluate them. All in one place!
LORecommender is a framework for the rapid prototyping of knowledge-based recommender systems applied to learning object recommendation.
Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019
Course notes for CS228: Probabilistic Graphical Models.
👩🏫 Advanced NLP with spaCy: A free online course
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).
Lecture slides for study about "Deep Learning" written by Ian Goodfellow, Yoshua Bengio and Aaron Courville
An open access book on scientific visualization using python and matplotlib
MIT 6.046: Introduction to Algorithm Design code implementations